
capture log close
set more off


//  program:	Generate and graph coefficients for models in the paper
//  task:       *This .do file generates
				*a range of coefficients at the 5 and 95% levels to compare to our actual coefficients
//				project: Cue-Taking
//  author:     Josh Ryan \ Sept. 9, 2013

// #Start
// program setup


*model 1, using "permcoeffsmodel1.dta" 

graph drop _all
use permcoeffsmodel1.dta, replace

*generate variables where coefficietns and SEs will be stored
gen bmean=.
gen sd=.
gen p95=.
gen p5=.
*I have to do this because each time i ran a simulation it added to the new dataset rather
*than replacing. As a consequence, I ended up with 14886 obs, and I only want the last 5000
drop in 1/9886
drop b_yea se_yea

*summarize and save mean coefficients and and associated SEs
sum b_leaderposition, de
replace bmean=r(mean) in 1
replace sd=r(sd) in 1
replace p95=r(p95) in 1
replace p5=r(p5) in 1
gen var3="b_leaderposition" in 1
gen obsco=-.241 in 1

*note that because this is sig at .1 only, didn't use 95, used 90
sum b_chairman, de
replace bmean=r(mean) in 2
replace sd=r(sd) in 2
replace p95=r(p95) in 2
replace p5=r(p5) in 2
replace var3="b_chairman" in 2
replace obsco=.288 in 2

sum b_committee, de
replace bmean=r(mean) in 3
replace sd=r(sd) in 3
replace p95=r(p95) in 3
replace p5=r(p5) in 3
replace var3="b_committee" in 3
replace obsco=-.068 in 3

sum b_absnom, de
replace bmean=r(mean) in 4
replace sd=r(sd) in 4
replace p95=r(p95) in 4
replace p5=r(p5) in 4
replace var3="b_absnom" in 4
replace obsco=.164 in 4

sum b_party, de
replace bmean=r(mean) in 5
replace sd=r(sd) in 5
replace p95=r(p95) in 5
replace p5=r(p5) in 5
replace var3="b_party" in 5
replace obsco=-.065 in 5

sum b_reelection, de
replace bmean=r(mean) in 6
replace sd=r(sd) in 6
replace p95=r(p95) in 6
replace p5=r(p5) in 6
replace var3="b_reelection" in 6
replace obsco=.061 in 6

sum b_number_o, de
replace bmean=r(mean) in 7
replace sd=r(sd) in 7
replace p95=r(p95) in 7
replace p5=r(p5) in 7
replace var3="b_number_o" in 7
replace obsco=.062 in 7

sum b_senior, de
replace bmean=r(mean) in 8
replace sd=r(sd) in 8
replace p95=r(p95) in 8
replace p5=r(p5) in 8
replace var3="b_senior" in 8
replace obsco=-.062 in 8

sum b_rawcscor, de
replace bmean=r(mean) in 9
replace sd=r(sd) in 9
replace p95=r(p95) in 9
replace p5=r(p5) in 9
replace var3="b_rawcscor" in 9
replace obsco=.078 in 9

sum b_amendcosponsor, de
replace bmean=r(mean) in 10
replace sd=r(sd) in 10
replace p95=r(p95) in 10
replace p5=r(p5) in 10
replace var3="b_amendcosponsor" in 10
replace obsco=.09 in 10

sum b_busy, de
replace bmean=r(mean) in 11
replace sd=r(sd) in 11
replace p95=r(p95) in 11
replace p5=r(p5) in 11
replace var3="b_busy" in 11
replace obsco=-.118 in 11

sum b_office, de
replace bmean=r(mean) in 12
replace sd=r(sd) in 12
replace p95=r(p95) in 12
replace p5=r(p5) in 12
replace var3="b_office" in 12
replace obsco=.053 in 12

sum b_hr1904, de
replace bmean=r(mean) in 13
replace sd=r(sd) in 13
replace p95=r(p95) in 13
replace p5=r(p5) in 13
replace var3="b_hr1904" in 13
replace obsco=2.43 in 13

sum b_s1, de
replace bmean=r(mean) in 14
replace sd=r(sd) in 14
replace p95=r(p95) in 14
replace p5=r(p5) in 14
replace var3="b_s1" in 14
replace obsco=1.56 in 14

sum b_s445, de
replace bmean=r(mean) in 15
replace sd=r(sd) in 15
replace p95=r(p95) in 15
replace p5=r(p5) in 15
replace var3="b_s445" in 15
replace obsco=1.96 in 15

sum b_respeak, de
replace bmean=r(mean) in 16
replace sd=r(sd) in 16
replace p95=r(p95) in 16
replace p5=r(p5) in 16
replace var3="b_respeak" in 16
replace obsco=.035 in 16

sum b_debatelevel, de
replace bmean=r(mean) in 17
replace sd=r(sd) in 17
replace p95=r(p95) in 17
replace p5=r(p5) in 17
replace var3="b_debatelevel" in 17
replace obsco=1.41 in 17

sum b_hr1904t, de
replace bmean=r(mean) in 18
replace sd=r(sd) in 18
replace p95=r(p95) in 18
replace p5=r(p5) in 18
replace var3="b_hr1904t" in 18
replace obsco=-.75 in 18

sum b_s1t, de
replace bmean=r(mean) in 19
replace sd=r(sd) in 19
replace p95=r(p95) in 19
replace p5=r(p5) in 19
replace var3="b_s1t" in 19
replace obsco=-.276 in 19

sum b_s445t, de
replace bmean=r(mean) in 20
replace sd=r(sd) in 20
replace p95=r(p95) in 20
replace p5=r(p5) in 20
replace var3="b_s445t" in 20
replace obsco=-.568 in 20

sum b_debatet, de
replace bmean=r(mean) in 21
replace sd=r(sd) in 21
replace p95=r(p95) in 21
replace p5=r(p5) in 21
replace var3="b_debatet" in 21
replace obsco=-.567 in 21

keep bmean sd var3 obsco p95 p5

gen n=_n
drop if bmean==.

 

save "permutation1 coefficients for conditional accept 09 04 13.dta", replace

use "permutation1 coefficients for conditional accept 09 04 13.dta", clear

#delimit ;
twoway (scatter obsco n, lcolor(none) fcolor(gs14)) (rcap p95 p5 n, lcolor(black) lwidth(vthin) fcolor(none)), 
 ytitle("Coefficient Value", size()) xtitle("") ylabel(-1(.5)3, valuelabel labsize())
  xlabel(1 "Leader" 2 "Chair/Ranking" 3 "Committee Mem." 4 "Nom Score" 5 "GOP" 6 "Reelection" 7 "Terms Served" 8 "Senior Mem."
  9 "Connectedness" 10 "Amend. Cospon." 11 "Busyness" 12 "Office" 13 "H.R. 1904" 14 "S. 1" 15 "S. 445" 16 "Recent Speaker"
  17 "Level of Debate" 18 "H.R. 1904*t" 19 "S. 1*t" 20 "S. 445*t" 21 "Debate*t",valuelabel labsize(small) angle(vertical))
 legend(col(1) order(1 "Observed Coefficient" 2 "Simulated 5-95% Coefficient Distribution")
 position(6) size(small)) scheme(s1mono)
 graphregion(fcolor(white) ifcolor(white)) title(Pooled Votes)
;
#delimit cr

**********************************************************Permute 2
use permcoeffsmodel2.dta, replace

*generate variables where coefficietns and SEs will be stored
gen bmean=.
gen sd=.
gen p95=.
gen p5=.
*I have to do this because each time i ran a simulation it added to the new dataset rather
*than replacing. As a consequence, I ended up with 14886 obs, and I only want the last 5000
drop in 1/5000
drop b_yea se_yea

*summarize and save mean coefficients and and associated SEs
sum b_leaderposition, de
replace bmean=r(mean) in 1
replace sd=r(sd) in 1
replace p95=r(p95) in 1
replace p5=r(p5) in 1
gen var3="b_leaderposition" in 1
gen obsco=-.337 in 1

*note that because this is sig at .1 only, didn't use 95, used 90
sum b_chairman, de
replace bmean=r(mean) in 2
replace sd=r(sd) in 2
replace p95=r(p95) in 2
replace p5=r(p5) in 2
replace var3="b_chairman" in 2
replace obsco=.286 in 2

sum b_committee, de
replace bmean=r(mean) in 3
replace sd=r(sd) in 3
replace p95=r(p95) in 3
replace p5=r(p5) in 3
replace var3="b_committee" in 3
replace obsco=-.069 in 3

sum b_absnom, de
replace bmean=r(mean) in 4
replace sd=r(sd) in 4
replace p95=r(p95) in 4
replace p5=r(p5) in 4
replace var3="b_absnom" in 4
replace obsco=.157 in 4

sum b_party, de
replace bmean=r(mean) in 5
replace sd=r(sd) in 5
replace p95=r(p95) in 5
replace p5=r(p5) in 5
replace var3="b_party" in 5
replace obsco=-.065 in 5

sum b_reelection, de
replace bmean=r(mean) in 6
replace sd=r(sd) in 6
replace p95=r(p95) in 6
replace p5=r(p5) in 6
replace var3="b_reelection" in 6
replace obsco=.059 in 6

sum b_number_o, de
replace bmean=r(mean) in 7
replace sd=r(sd) in 7
replace p95=r(p95) in 7
replace p5=r(p5) in 7
replace var3="b_number_o" in 7
replace obsco=.061 in 7

sum b_senior, de
replace bmean=r(mean) in 8
replace sd=r(sd) in 8
replace p95=r(p95) in 8
replace p5=r(p5) in 8
replace var3="b_senior" in 8
replace obsco=-.062 in 8

sum b_rawcscor, de
replace bmean=r(mean) in 9
replace sd=r(sd) in 9
replace p95=r(p95) in 9
replace p5=r(p5) in 9
replace var3="b_rawcscor" in 9
replace obsco=.083 in 9

sum b_amendcosponsor, de
replace bmean=r(mean) in 10
replace sd=r(sd) in 10
replace p95=r(p95) in 10
replace p5=r(p5) in 10
replace var3="b_amendcosponsor" in 10
replace obsco=.094 in 10

sum b_busy, de
replace bmean=r(mean) in 11
replace sd=r(sd) in 11
replace p95=r(p95) in 11
replace p5=r(p5) in 11
replace var3="b_busy" in 11
replace obsco=-.118 in 11

sum b_office, de
replace bmean=r(mean) in 12
replace sd=r(sd) in 12
replace p95=r(p95) in 12
replace p5=r(p5) in 12
replace var3="b_office" in 12
replace obsco=.053 in 12

sum b_hr1904, de
replace bmean=r(mean) in 13
replace sd=r(sd) in 13
replace p95=r(p95) in 13
replace p5=r(p5) in 13
replace var3="b_hr1904" in 13
replace obsco=2.42 in 13

sum b_s1, de
replace bmean=r(mean) in 14
replace sd=r(sd) in 14
replace p95=r(p95) in 14
replace p5=r(p5) in 14
replace var3="b_s1" in 14
replace obsco=1.55 in 14

sum b_s445, de
replace bmean=r(mean) in 15
replace sd=r(sd) in 15
replace p95=r(p95) in 15
replace p5=r(p5) in 15
replace var3="b_s445" in 15
replace obsco=1.96 in 15

sum b_respeak, de
replace bmean=r(mean) in 16
replace sd=r(sd) in 16
replace p95=r(p95) in 16
replace p5=r(p5) in 16
replace var3="b_respeak" in 16
replace obsco=.029 in 16

sum b_debatelevel, de
replace bmean=r(mean) in 17
replace sd=r(sd) in 17
replace p95=r(p95) in 17
replace p5=r(p5) in 17
replace var3="b_debatelevel" in 17
replace obsco=1.4 in 17

sum b_ledebate, de
replace bmean=r(mean) in 18
replace sd=r(sd) in 18
replace p95=r(p95) in 18
replace p5=r(p5) in 18
replace var3="b_ledebate" in 18
replace obsco=.193 in 18

sum b_hr1904t, de
replace bmean=r(mean) in 19
replace sd=r(sd) in 19
replace p95=r(p95) in 19
replace p5=r(p5) in 19
replace var3="b_hr1904t" in 19
replace obsco=-.75 in 19

sum b_s1t, de
replace bmean=r(mean) in 20
replace sd=r(sd) in 20
replace p95=r(p95) in 20
replace p5=r(p5) in 20
replace var3="b_s1t" in 20
replace obsco=-.275 in 20

sum b_s445t, de
replace bmean=r(mean) in 21
replace sd=r(sd) in 21
replace p95=r(p95) in 21
replace p5=r(p5) in 21
replace var3="b_s445t" in 21
replace obsco=-.567 in 21

sum b_debatet, de
replace bmean=r(mean) in 22
replace sd=r(sd) in 22
replace p95=r(p95) in 22
replace p5=r(p5) in 22
replace var3="b_debatet" in 22
replace obsco=-.567 in 22

keep bmean sd var3 obsco p95 p5

gen n=_n
drop if bmean==.

 

save "permutation2 coefficients for conditional accept 09 04 13.dta", replace

use "permutation2 coefficients for conditional accept 09 04 13.dta", clear

#delimit ;
twoway (scatter obsco n, lcolor(none) fcolor(gs14)) (rcap p95 p5 n, lcolor(black) lwidth(vthin) fcolor(none)), 
 ytitle("Coefficient Value", size()) xtitle("") ylabel(-1(.5)3, valuelabel labsize())
  xlabel(1 "Leader" 2 "Chair/Ranking" 3 "Committee Mem." 4 "Nom Score" 5 "GOP" 6 "Reelection" 7 "Terms Served" 8 "Senior Mem."
  9 "Connectedness" 10 "Amend. Cospon." 11 "Busyness" 12 "Office" 13 "H.R. 1904" 14 "S. 1" 15 "S. 445" 16 "Recent Speaker"
  17 "Level of Debate" 18 "Leader*Debate" 19 "H.R. 1904*t" 20 "S. 1*t" 21 "S. 445*t" 22 "Debate*t",valuelabel labsize(small) angle(vertical))
 legend(col(1) order(1 "Observed Coefficient" 2 "Simulated 5-95% Coefficient Distribution")
 position(6) size(small)) scheme(s1mono)
 graphregion(fcolor(white) ifcolor(white)) title(Pooled Votes with Debated x Leader)
;
#delimit cr

*****************************************************************************Permutation 3
use permcoeffsmodel3.dta, replace

*generate variables where coefficietns and SEs will be stored
gen bmean=.
gen sd=.
gen p95=.
gen p5=.
*I have to do this because each time i ran a simulation it added to the new dataset rather
*than replacing. As a consequence, I ended up with 14886 obs, and I only want the last 5000
drop in 1/5000
drop b_yea se_yea

*summarize and save mean coefficients and and associated SEs
sum b_leaderposition, de
replace bmean=r(mean) in 1
replace sd=r(sd) in 1
replace p95=r(p95) in 1
replace p5=r(p5) in 1
gen var3="b_leaderposition" in 1
gen obsco=.567 in 1

*note that because this is sig at .1 only, didn't use 95, used 90
sum b_chairman, de
replace bmean=r(mean) in 2
replace sd=r(sd) in 2
replace p95=r(p95) in 2
replace p5=r(p5) in 2
replace var3="b_chairman" in 2
replace obsco=.161 in 2

sum b_committee, de
replace bmean=r(mean) in 3
replace sd=r(sd) in 3
replace p95=r(p95) in 3
replace p5=r(p5) in 3
replace var3="b_committee" in 3
replace obsco=-.097 in 3

sum b_absnom, de
replace bmean=r(mean) in 4
replace sd=r(sd) in 4
replace p95=r(p95) in 4
replace p5=r(p5) in 4
replace var3="b_absnom" in 4
replace obsco=.255 in 4

sum b_party, de
replace bmean=r(mean) in 5
replace sd=r(sd) in 5
replace p95=r(p95) in 5
replace p5=r(p5) in 5
replace var3="b_party" in 5
replace obsco=-.056 in 5

sum b_reelection, de
replace bmean=r(mean) in 6
replace sd=r(sd) in 6
replace p95=r(p95) in 6
replace p5=r(p5) in 6
replace var3="b_reelection" in 6
replace obsco=-.069 in 6

sum b_number_o, de
replace bmean=r(mean) in 7
replace sd=r(sd) in 7
replace p95=r(p95) in 7
replace p5=r(p5) in 7
replace var3="b_number_o" in 7
replace obsco=.04 in 7

sum b_senior, de
replace bmean=r(mean) in 8
replace sd=r(sd) in 8
replace p95=r(p95) in 8
replace p5=r(p5) in 8
replace var3="b_senior" in 8
replace obsco=-.002 in 8

sum b_rawcscor, de
replace bmean=r(mean) in 9
replace sd=r(sd) in 9
replace p95=r(p90) in 9
replace p5=r(p10) in 9
replace var3="b_rawcscor" in 9
replace obsco=.072 in 9

sum b_amendcosponsor, de
replace bmean=r(mean) in 10
replace sd=r(sd) in 10
replace p95=r(p95) in 10
replace p5=r(p5) in 10
replace var3="b_amendcosponsor" in 10
replace obsco=.085 in 10

sum b_busy, de
replace bmean=r(mean) in 11
replace sd=r(sd) in 11
replace p95=r(p95) in 11
replace p5=r(p5) in 11
replace var3="b_busy" in 11
replace obsco=-.174 in 11

sum b_office, de
replace bmean=r(mean) in 12
replace sd=r(sd) in 12
replace p95=r(p95) in 12
replace p5=r(p5) in 12
replace var3="b_office" in 12
replace obsco=.085 in 12

sum b_s1, de
replace bmean=r(mean) in 13
replace sd=r(sd) in 13
replace p95=r(p95) in 13
replace p5=r(p5) in 13
replace var3="b_s1" in 13
replace obsco=.236 in 13

sum b_s445, de
replace bmean=r(mean) in 14
replace sd=r(sd) in 14
replace p95=r(p95) in 14
replace p5=r(p5) in 14
replace var3="b_s445" in 14
replace obsco=1.88 in 14

sum b_respeak, de
replace bmean=r(mean) in 15
replace sd=r(sd) in 15
replace p95=r(p95) in 15
replace p5=r(p5) in 15
replace var3="b_respeak" in 15
replace obsco=.61 in 15

sum b_s445t, de
replace bmean=r(mean) in 16
replace sd=r(sd) in 16
replace p95=r(p95) in 16
replace p5=r(p5) in 16
replace var3="b_s445t" in 16
replace obsco=-.424 in 16


keep bmean sd var3 obsco p95 p5

gen n=_n
drop if bmean==.

 

save "permutation3 coefficients for conditional accept 09 04 13.dta", replace

use "permutation3 coefficients for conditional accept 09 04 13.dta", clear

#delimit ;
twoway (scatter obsco n, lcolor(none) fcolor(gs14)) (rcap p95 p5 n, lcolor(black) lwidth(vthin) fcolor(none)), 
 ytitle("Coefficient Value", size()) xtitle("") ylabel(-1(.5)3, valuelabel labsize())
  xlabel(1 "Leader" 2 "Chair/Ranking" 3 "Committee Mem." 4 "Nom Score" 5 "GOP" 6 "Reelection" 7 "Terms Served" 8 "Senior Mem."
  9 "Connectedness" 10 "Amend. Cospon." 11 "Busyness" 12 "Office" 13 "S. 1" 14 "S. 445" 15 "Recent Speaker"
  16"S. 445*t",valuelabel labsize(small) angle(vertical))
 legend(col(1) order(1 "Observed Coefficient" 2 "Simulated 5-95% Coefficient Distribution")
 position(6) size(small)) scheme(s1mono)
 graphregion(fcolor(white) ifcolor(white)) title(Heavily Debated Votes)
;
#delimit cr




***************************************************************Permute 4
use permcoeffsmodel4.dta, replace

*generate variables where coefficietns and SEs will be stored
gen bmean=.
gen sd=.
gen p95=.
gen p5=.
*I have to do this because each time i ran a simulation it added to the new dataset rather
*than replacing. As a consequence, I ended up with 14886 obs, and I only want the last 5000
drop in 1/5000
drop b_yea se_yea

*summarize and save mean coefficients and and associated SEs
sum b_leaderposition, de
replace bmean=r(mean) in 1
replace sd=r(sd) in 1
replace p95=r(p95) in 1
replace p5=r(p5) in 1
gen var3="b_leaderposition" in 1
gen obsco=.052 in 1

sum b_chairman, de
replace bmean=r(mean) in 2
replace sd=r(sd) in 2
replace p95=r(p95) in 2
replace p5=r(p5) in 2
replace var3="b_chairman" in 2
replace obsco=.325 in 2

sum b_committee, de
replace bmean=r(mean) in 3
replace sd=r(sd) in 3
replace p95=r(p95) in 3
replace p5=r(p5) in 3
replace var3="b_committee" in 3
replace obsco=-.165 in 3

sum b_absnom, de
replace bmean=r(mean) in 4
replace sd=r(sd) in 4
replace p95=r(p95) in 4
replace p5=r(p5) in 4
replace var3="b_absnom" in 4
replace obsco=1.03 in 4

sum b_party, de
replace bmean=r(mean) in 5
replace sd=r(sd) in 5
replace p95=r(p95) in 5
replace p5=r(p5) in 5
replace var3="b_party" in 5
replace obsco=.099 in 5

sum b_reelection, de
replace bmean=r(mean) in 6
replace sd=r(sd) in 6
replace p95=r(p95) in 6
replace p5=r(p5) in 6
replace var3="b_reelection" in 6
replace obsco=.19 in 6

sum b_number_o, de
replace bmean=r(mean) in 7
replace sd=r(sd) in 7
replace p95=r(p95) in 7
replace p5=r(p5) in 7
replace var3="b_number_o" in 7
replace obsco=.093 in 7

sum b_senior, de
replace bmean=r(mean) in 8
replace sd=r(sd) in 8
replace p95=r(p95) in 8
replace p5=r(p5) in 8
replace var3="b_senior" in 8
replace obsco=.098 in 8

sum b_rawcscor, de
replace bmean=r(mean) in 9
replace sd=r(sd) in 9
replace p95=r(p95) in 9
replace p5=r(p5) in 9
replace var3="b_rawcscor" in 9
replace obsco=.248 in 9

sum b_amendcosponsor, de
replace bmean=r(mean) in 10
replace sd=r(sd) in 10
replace p95=r(p95) in 10
replace p5=r(p5) in 10
replace var3="b_amendcosponsor" in 10
replace obsco=.263 in 10

sum b_busy, de
replace bmean=r(mean) in 11
replace sd=r(sd) in 11
replace p95=r(p95) in 11
replace p5=r(p5) in 11
replace var3="b_busy" in 11
replace obsco=-.22 in 11

sum b_office, de
replace bmean=r(mean) in 12
replace sd=r(sd) in 12
replace p95=r(p95) in 12
replace p5=r(p5) in 12
replace var3="b_office" in 12
replace obsco=.039 in 12

sum b_hr1904, de
replace bmean=r(mean) in 13
replace sd=r(sd) in 13
replace p95=r(p95) in 13
replace p5=r(p5) in 13
replace var3="b_hr1904" in 13
replace obsco=2.96 in 13

sum b_s1, de
replace bmean=r(mean) in 14
replace sd=r(sd) in 14
replace p95=r(p95) in 14
replace p5=r(p5) in 14
replace var3="b_s1" in 14
replace obsco=2.72 in 14

sum b_respeak, de
replace bmean=r(mean) in 15
replace sd=r(sd) in 15
replace p95=r(p95) in 15
replace p5=r(p5) in 15
replace var3="b_respeak" in 15
replace obsco=.131 in 15

sum b_hr1904t, de
replace bmean=r(mean) in 16
replace sd=r(sd) in 16
replace p95=r(p95) in 16
replace p5=r(p5) in 16
replace var3="b_hr1904t" in 16
replace obsco=-.56 in 16


keep bmean sd var3 obsco p95 p5

gen n=_n
drop if bmean==.

 

save "permutation4 coefficients for conditional accept 09 04 13.dta", replace

use "permutation4 coefficients for conditional accept 09 04 13.dta", clear

#delimit ;
twoway (scatter obsco n, lcolor(none) fcolor(gs14)) (rcap p95 p5 n, lcolor(black) lwidth(vthin) fcolor(none)), 
 ytitle("Coefficient Value", size()) xtitle("") ylabel(-1(.5)3, valuelabel labsize())
  xlabel(1 "Leader" 2 "Chair/Ranking" 3 "Committee Mem." 4 "Nom Score" 5 "GOP" 6 "Reelection" 7 "Terms Served" 8 "Senior Mem."
  9 "Connectedness" 10 "Amend. Cospon." 11 "Busyness" 12 "Office" 13 "H.R. 1904" 14 "S. 1" 15 "Recent Speaker"
  16 "H.R. 1904*t",valuelabel labsize(small) angle(vertical))
 legend(col(1) order(1 "Observed Coefficient" 2 "Simulated 5-95% Coefficient Distribution")
 position(6) size(small)) scheme(s1mono)
 graphregion(fcolor(white) ifcolor(white)) title(Non-Heavily Debated Votes)
;
#delimit cr



